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Gaussian Distribution Prior Based Multi-view Self-supervised Learning for Serous Retinal Detachment Segmentation
Assessment of serous retinal detachment (SRD) plays an important role in the diagnosis of central serous chorioretinopathy (CSC). In this paper, we...
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A Feature Pyramid Fusion Network Based on Dynamic Perception Transformer for Retinal OCT Biomarker Image Segmentation
OCT biomarkers are important for assessing the developmental stages of retinal diseases. However, the biomarkers show diverse and irregular features...
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An automated hybrid decoupled convolutional network for laceration segmentation and grading of retinal diseases using optical coherence tomography (OCT) images
Diabetic retinopathy (DR) is a complication of diabetes that damages the retina and can cause blindness if untreated due to high blood sugar levels....
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Weakly Supervised Retinal Detachment Segmentation Using Deep Feature Propagation Learning in SD-OCT Images
Most automated segmentation approaches for quantitative assessment of sub-retinal fluid regions rely heavily on retinal anatomy knowledge (e.g. layer...
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An Improved MPB-CNN Segmentation Method for Edema Area and Neurosensory Retinal Detachment in SD-OCT Images
In the past, when facing with spectral-domain optical coherence tomography (SD-OCT) images of various types of age-related macular degeneration, such...
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3D Level Set Method via Local Structure Similarity Factor for Automatic Neurosensory Retinal Detachment Segmentation in Retinal SD-OCT Images
Qualitative assessment of pathological changes is vital for clinicians to determine the degree of neurosensory retinal detachment (NRD). However,...
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GAMNet: a gated attention mechanism network for grading myopic traction maculopathy in OCT images
Myopic traction maculopathy (MTM) is a retinal disease caused by tractional forces on the macula, serving as a major contributor to irreversible...
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Deep Retinal Diseases Detection and Explainability Using OCT Images
Retinal disease classification is an important challenge in computer aided diagnosis (CAD) for medical applications. Eye diseases can cause different...
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A novel method for automatic retinal detachment detection and estimation using ocular ultrasound image
This paper presents a novel method for automated detection of retinal detachment from ocular ultrasound image using digital image processing and...
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Automatic retinal layer segmentation in SD-OCT images with CSC guided by spatial characteristics
Segmentation of retinal layers with central serious chorioretinopathy (CSC) in Spectral Domain Optical Coherence Tomography (SD-OCT) images is...
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Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images
Purpose: To automatically segment neurosensory retinal detachment (NRD)-associated subretinal fluid in spectral domain optical coherence tomography...
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Automated Detection of Eye Related Diseases Using Digital Image Processing
This chapter presents techniques for automated detection of various eye diseases using digital image processing. Human eyes suffer from variety of...
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Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images
Choroidal neovascularization (CNV), caused by new blood vessels in the choroid growing through the Bruch’s membrane, is an important manifestation of...